The Israeli deal would see the release of hostages, a flood of humanitarian aid and a multi-stage process for a permanent cessation of violence and full IDF withdrawal.

Biden announces new cease-fire plan for Gaza - The Washington Post

US president’s announcement comes as he faces widespread criticism over his Gaza policy in lead-up to November election.

Biden says Israel has agreed to ‘enduring’ Gaza ceasefire proposal | Joe Biden News | Al Jazeera

US president urges Hamas to accept the three-phase plan, saying &quot;it&#x27;s time for this war to end&quot;.

Biden sets out new Israeli proposal to end conflict in Gaza - BBC News

US President Joe Biden announced Friday that Israel has offered a &quot;roadmap&quot; to a full ceasefire in the Middle East ally&#x27;s military campaign against Hamas in Gaza, including a troop withdrawal and release of hostages.

Israel Hamas War: Israel Offers New Gaza Proposal With Full Ceasefire, Withdrawal: Joe Biden

After initial criticism from some board members and employees about his first proposal, East Baton Rouge Parish interim Superintendent Adam Smith is sweetening the pot, proposing a $2,200 permanent pay

Baton Rouge schoolteachers could join 50K a year club | Education | theadvocate.com

Droposal

droposal

Recently, I haven’t been updating my open-source articles as frequently — not because I’ve stopped writing, but because the progress on open-source commercialization has been great, and the endless task of drafting proposals has consumed my time. As a native open-source commercial company, WhaleOps employs mostly engineers. Asking these open-source contributors to write proposals wastes their development time, and their proposals don’t always meet the quality standard. Unlike managing in a big company, being a startup CEO means stepping into any role the company needs. After every strategic meeting, I’m the first to roll up my sleeves and tackle the most urgent tasks. As a result, I haven’t had time to write articles, as my limited time is mostly taken up with creating proposals that follow the formal template style. Especially recently, with one bid after another, I’ve found myself questioning my sanity. The existing large models can’t solve my problem, so I’ll build my own As a tech person, I always look to tools to solve my problems. Naturally, I thought of large models, but they can’t fully grasp the nuances of our products and often produce unreliable outputs. Plus, you’re the one delivering the work, not the model. So, I decided to develop a tool for proposal generation based on large models using Python and a compatible large model (compatible with ChatGPT). This tool automatically generates a proposal from your product documentation, breaking down product manuals into feature points. Based on a human-created mapping of these points to the requirements, it generates a Word version of the proposal and an Excel deviation table. The model can condense or expand content or simply copy relevant functionality as needed. Features of the open-source proposal tool The functionality of this tool is simple, with the most challenging part being the Word formatting (formatting in Word is always a pain). I experimented with several methods to make sure it follows the correct Title 1, Title 2, Title 3, body text, table, and image formats in the Word template. Staying true to the open-source spirit, I’ve uploaded the tool to my personal GitHub under an Apache License, so feel free to use it if you need. Here’s what it does: Get it here: https://github.com/William-GuoWei/ProposalLLM Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”).
Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”).
For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed).
Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. With this tool, you can quickly modify and generate proposals at will. Proposal generation process Start by running Extract_Word.py to generate your product feature points as a Word document, then run Generate.py. If a feature point is missing, you can enter “X” in the Excel file, and the model will generate content that meets the requirements. However, I strongly recommend a manual review. After generation, you’ll see the proposal formatted with a table of contents, body text, images, tables, and bullet points, all automatically organized. The entire proposal is structured according to the client’s requirements in sequential format, with subheadings, content, images, and point-to-point responses. This takes care of all the repetitive work. The automatically generated deviation table includes everything, whether the content was generated by the model or not, along with the corresponding section numbers. You only need to finalize the deviation table with “&” symbols based on the final requirements — the model has written it all for you. For me, this tool has reduced what used to be 8 hours of work to around 30 minutes, and even our business team can generate the business proposal sections using the template. In total, this has cut down our time for a week-long proposal to 1–2 days, reducing the manpower required by 80%. How to use it? First, download all the code to a single directory from GitHub at https://github.com/William-GuoWei/ProposalLLM: Proposal Large Model (Chinese version). Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx.
Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section.
Copy your product manual to Template.docx. Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues.
Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly.
Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically.
Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors.
Adjust the parameters in Generate.py: API_KEY and SECRET_KEY: Baidu Cloud large model keys.
MAX_WIDTH_CM: Maximum image width; images larger than this will be resized automatically.
The prompts for generating content have been customized for large data scenarios, but feel free to modify them.
MoreSection=1 will read Column C to generate detailed tertiary headings (default is on).
ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off).
DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on).
key_flag=1 adds the importance level of each requirement to the proposal headings (default is on).
last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” 8. Run Generate.py. Summary With this tool, you only need to check the product features against the proposal requirements, and most of the proposal content is generated automatically. The business proposal section can also be generated similarly, so creating a 1,000-page proposal now only takes a few minutes. Recently, I haven’t been updating my open-source articles as frequently — not because I’ve stopped writing, but because the progress on open-source commercialization has been great, and the endless task of drafting proposals has consumed my time. As a native open-source commercial company, WhaleOps employs mostly engineers. Asking these open-source contributors to write proposals wastes their development time, and their proposals don’t always meet the quality standard. Unlike managing in a big company, being a startup CEO means stepping into any role the company needs. After every strategic meeting, I’m the first to roll up my sleeves and tackle the most urgent tasks. As a result, I haven’t had time to write articles, as my limited time is mostly taken up with creating proposals that follow the formal template style. Especially recently, with one bid after another, I’ve found myself questioning my sanity. The existing large models can’t solve my problem, so I’ll build my own As a tech person, I always look to tools to solve my problems. Naturally, I thought of large models, but they can’t fully grasp the nuances of our products and often produce unreliable outputs. Plus, you’re the one delivering the work, not the model. So, I decided to develop a tool for proposal generation based on large models using Python and a compatible large model (compatible with ChatGPT). This tool automatically generates a proposal from your product documentation, breaking down product manuals into feature points. Based on a human-created mapping of these points to the requirements, it generates a Word version of the proposal and an Excel deviation table. The model can condense or expand content or simply copy relevant functionality as needed. Features of the open-source proposal tool The functionality of this tool is simple, with the most challenging part being the Word formatting (formatting in Word is always a pain). I experimented with several methods to make sure it follows the correct Title 1, Title 2, Title 3, body text, table, and image formats in the Word template. Staying true to the open-source spirit, I’ve uploaded the tool to my personal GitHub under an Apache License, so feel free to use it if you need. Here’s what it does: Get it here: https://github.com/William-GuoWei/ProposalLLM Get it here: https://github.com/William-GuoWei/ProposalLLM https://github.com/William-GuoWei/ProposalLLM Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”). Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”). For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed). Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”). Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”). For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed). Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. With this tool, you can quickly modify and generate proposals at will. Proposal generation process Start by running Extract_Word.py to generate your product feature points as a Word document, then run Generate.py . If a feature point is missing, you can enter “X” in the Excel file, and the model will generate content that meets the requirements. However, I strongly recommend a manual review. After generation, you’ll see the proposal formatted with a table of contents, body text, images, tables, and bullet points, all automatically organized. Extract_Word.py Generate.py The entire proposal is structured according to the client’s requirements in sequential format, with subheadings, content, images, and point-to-point responses. This takes care of all the repetitive work. The automatically generated deviation table includes everything, whether the content was generated by the model or not, along with the corresponding section numbers. You only need to finalize the deviation table with “&” symbols based on the final requirements — the model has written it all for you. For me, this tool has reduced what used to be 8 hours of work to around 30 minutes, and even our business team can generate the business proposal sections using the template. In total, this has cut down our time for a week-long proposal to 1–2 days, reducing the manpower required by 80%. How to use it? First, download all the code to a single directory from GitHub at https://github.com/William-GuoWei/ProposalLLM : Proposal Large Model (Chinese version). https://github.com/William-GuoWei/ProposalLLM Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx. Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section. Copy your product manual to Template.docx. Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues. Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly. Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically. Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors. Adjust the parameters in Generate.py: Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx . pip install openpyxl, docx, openai, requests, docx, python-docx Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section. Copy your product manual to Template.docx . Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues. Template.docx Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly. Extract_Word.py Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically. Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors. Adjust the parameters in Generate.py : Generate.py API_KEY and SECRET_KEY: Baidu Cloud large model keys. MAX_WIDTH_CM: Maximum image width; images larger than this will be resized automatically. The prompts for generating content have been customized for large data scenarios, but feel free to modify them. MoreSection=1 will read Column C to generate detailed tertiary headings (default is on). ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off). DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on). key_flag=1 adds the importance level of each requirement to the proposal headings (default is on). last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” API_KEY and SECRET_KEY : Baidu Cloud large model keys. API_KEY SECRET_KEY MAX_WIDTH_CM : Maximum image width; images larger than this will be resized automatically. MAX_WIDTH_CM The prompts for generating content have been customized for large data scenarios, but feel free to modify them. MoreSection=1 will read Column C to generate detailed tertiary headings (default is on). MoreSection=1 ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off). ReGenerateText=0 DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on). DDDAnswer=1 key_flag=1 adds the importance level of each requirement to the proposal headings (default is on). key_flag=1 last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” last_heading_1=2 8. Run Generate.py . Generate.py Summary With this tool, you only need to check the product features against the proposal requirements, and most of the proposal content is generated automatically. The business proposal section can also be generated similarly, so creating a 1,000-page proposal now only takes a few minutes.

I Built An Automatic Proposal Generation Large Language Model and Open-Sourced It on GitHub

As the founder of a digital commerce tool, I get a lot of questions like, “I set up my store, uploaded my products - now how do I get customers?” Some people jump right into social media with posts like, “Hey everyone, I’ve just created a great eBook about applying for an O-1 American visa. Come check it out!” But let’s be honest, that kind of message barely grabs attention—most people just tune out that type of pitch. So, I’ve pulled together a few tips for freshly minted online entrepreneurs to help you get started. Identify Your Audience You might think that your products are interesting to anyone. Hmmmm, maybe, but it can also show that you just don’t really know your audience. What do they like, what do they watch, what do they do in their free time, and where do they hang out? There are hundreds of other questions that could be asked, but let’s not overcomplicate things and start small. The main goal here is to narrow down your focus to find an audience more likely to buy your product. Here’s what that looks like: let’s say you’ve just launched a Turkish pastry cookbook. If you promote it randomly on any channel with a big but completely random audience, the process starts to feel like gambling. Sure, you might attract a few people and even make some sales, but trying to turn that approach into a stable sales channel won’t work—it’s random, and you can’t build a reliable system on random. On the other hand, you can make an educated guess about the kinds of people who’d be interested in baking Turkish pastries. Think home bakers, foodies, or people who love international cuisine. Look for people hanging out on cooking forums, following cooking content on social media, or reading food blogs. Reaching out to these people multiplies your chances of being recognized, and, even better, appreciated. ✅ So identifying your audience? Definitely a DO Send a Standard Message to All Now, you compile the best message about your book, explain why it’s great, highlight all the benefits for customers, and… send it to every single person you can reach. You might think, “Hey, more eyes on my book, right?” But here’s the catch: when you blast the same message to everyone, it comes off as, well… cookie-cutter. People can sense when something’s mass-sent, and it feels like spam. Imagine a Turkish pastry cookbook landing in the inbox of someone who’s never baked a day in their life. Or someone who’s just there for the quick dinner recipes and isn’t interested in mastering baklava. They’re probably not going to care. Worse, they’ll just ignore it altogether. Instead, imagine taking a few extra seconds to make it feel a bit more personal. Spot someone who’s posted about their latest baking success? Drop in a line about how your cookbook might be the next thing they’d love to try. Or if someone’s always sharing recipes from different cultures, point out how your book dives into authentic Turkish flavors. That little extra effort? It’s what turns a message from “meh” to memorable. 🙅‍♀️ So sending a standard, impersonalised message is a DON’T Keep It Short and Simple The attention span of a person today is about 8 seconds. That means you have only 8 seconds to grab their attention. Now imagine your long, detailed message, lovingly written to highlight every aspect of your cookbook, being shown to someone who quickly scans the text without really reading it. It just gets ignored. They skim over it, maybe catch a word here or there, but that message you put so much thought into? It just blends into the noise. People today are bombarded with messages left and right—long-winded ones just don’t stand a chance. If your pitch takes too long to get to the point, they’ll move on before they even know why your cookbook’s worth their time. All that heart and detail you poured in? It’s lost in a quick scroll. Instead, think bite-sized. Lead with a line that grabs them: “Master the secrets of Turkish pastries in your own kitchen.” Boom. In one line, they know what’s in it for them. After that, just a little teaser about what makes your cookbook special—maybe it’s a recipe for authentic baklava or a dive into regional favorites that are hard to find outside Turkey. Short, sharp, and inviting. Just enough for them to say, “Wait, tell me more.” That’s when you know you’ve hooked them. ✅ Please, DO keep it simple Focus on Making the Sale You started all this to make sales—lots of them—and there’s nothing wrong with that. You’ve put in the work, gained experience, spent your time, and made a real effort to create something valuable. Naturally, you want to sell it as a polished product. After all, we live in a world of capitalism; selling is part of the game. But here’s the big BUT: nobody likes feeling like they’re just a walking wallet. When people sense they’re being treated as nothing more than a sale, it’s a quick turn-off. Instead, start by sharing a little value upfront—something that shows them the benefit of what you offer without pushing for the sale. For our Turkish pastry cookbook, maybe it’s a quick tip on mastering flaky dough or a recipe for a popular pastry. Give them a taste of what they’d be getting, and let them see the value themselves. This way, you’re building trust first, proving you’re here to offer something genuinely useful, not just to make a quick buck. People are far more likely to buy from someone who respects them enough to share value first. It’s a simple way to make them curious instead of feeling pressured. 🙅‍♀️ Nobody likes to be a victim of unexpected aggressive sales. So DON’T Share What Others Think Would you buy a book because a salesperson persuaded you, or because ten other people said it’s great? Well, both methods can work, but let’s be real: we’re social animals, and we rely on the opinions of others. If at least a handful of people can share a few words about your product—how it helped them, how cool it is—that can make a huge difference in building credibility. You might be struggling to get your first feedback, but don’t overlook your closer circle. Your family, friends, and their friends can be fantastic first reviewers. Reach out to them and ask for honest opinions. Encourage them to share their thoughts publicly, whether it’s a quick post on social media or a review on a platform where potential buyers might see it. Their endorsements can provide that social proof that makes others feel confident about giving your product a shot. After all, people trust recommendations from real users way more than a slick sales pitch. It’s all about showing that others have found value in what you offer. ✅ So go ahead and share what others think—because it’s a solid DO! Neglect Follow-Ups Do you reply to all the emails and messages you receive? I used to do so, and I was actually surprised when I found out that not everyone does. Actually, I started to ignore them recently when I started to receive more of them, and a lot of them are far from relevant for me. People ignore messages not because they are rude. It’s just their right what to do with the received message. And pretty often they just miss some of them or decide to reply later and forget. Life happens, and this is a usual situation. So don’t hesitate to send a kind reminder after some time. A gentle nudge can be the perfect way to reignite interest without being pushy. 🙅‍♀️ So don’t just sit back and hope for the best—neglecting follow-ups is a definite DON’T if you want to keep the conversation going! The Final Even great products need to be marketed properly. Success isn’t about throwing everything out there and hoping it sticks - it’s about building relationships, being genuine, and giving people a reason to care about what you’re offering. Follow my digital product commerce saga on 𝕏 👉 https://x.com/alexhustles As the founder of a digital commerce tool, I get a lot of questions like, “I set up my store, uploaded my products - now how do I get customers?” Some people jump right into social media with posts like, “Hey everyone, I’ve just created a great eBook about applying for an O-1 American visa. Come check it out!” But let’s be honest, that kind of message barely grabs attention—most people just tune out that type of pitch. So, I’ve pulled together a few tips for freshly minted online entrepreneurs to help you get started. Identify Your Audience You might think that your products are interesting to anyone. Hmmmm, maybe, but it can also show that you just don’t really know your audience. What do they like, what do they watch, what do they do in their free time, and where do they hang out? There are hundreds of other questions that could be asked, but let’s not overcomplicate things and start small. The main goal here is to narrow down your focus to find an audience more likely to buy your product. Here’s what that looks like: let’s say you’ve just launched a Turkish pastry cookbook. If you promote it randomly on any channel with a big but completely random audience, the process starts to feel like gambling. Sure, you might attract a few people and even make some sales, but trying to turn that approach into a stable sales channel won’t work—it’s random, and you can’t build a reliable system on random. On the other hand, you can make an educated guess about the kinds of people who’d be interested in baking Turkish pastries. Think home bakers, foodies, or people who love international cuisine. Look for people hanging out on cooking forums, following cooking content on social media, or reading food blogs. Reaching out to these people multiplies your chances of being recognized, and, even better, appreciated. ✅ So identifying your audience? Definitely a DO ✅ So identifying your audience? Definitely a DO Send a Standard Message to All Now, you compile the best message about your book, explain why it’s great, highlight all the benefits for customers, and… send it to every single person you can reach. You might think, “Hey, more eyes on my book, right?” But here’s the catch: when you blast the same message to everyone, it comes off as, well… cookie-cutter. People can sense when something’s mass-sent, and it feels like spam. Imagine a Turkish pastry cookbook landing in the inbox of someone who’s never baked a day in their life. Or someone who’s just there for the quick dinner recipes and isn’t interested in mastering baklava. They’re probably not going to care. Worse, they’ll just ignore it altogether. Instead, imagine taking a few extra seconds to make it feel a bit more personal. Spot someone who’s posted about their latest baking success? Drop in a line about how your cookbook might be the next thing they’d love to try. Or if someone’s always sharing recipes from different cultures, point out how your book dives into authentic Turkish flavors. That little extra effort? It’s what turns a message from “meh” to memorable. 🙅‍♀️ So sending a standard, impersonalised message is a DON’T 🙅‍♀️ So sending a standard, impersonalised message is a DON’T Keep It Short and Simple The attention span of a person today is about 8 seconds. That means you have only 8 seconds to grab their attention. Now imagine your long, detailed message, lovingly written to highlight every aspect of your cookbook, being shown to someone who quickly scans the text without really reading it. It just gets ignored. They skim over it, maybe catch a word here or there, but that message you put so much thought into? It just blends into the noise. People today are bombarded with messages left and right—long-winded ones just don’t stand a chance. If your pitch takes too long to get to the point, they’ll move on before they even know why your cookbook’s worth their time. All that heart and detail you poured in? It’s lost in a quick scroll. Instead, think bite-sized. Lead with a line that grabs them: “Master the secrets of Turkish pastries in your own kitchen.” Boom. In one line, they know what’s in it for them. After that, just a little teaser about what makes your cookbook special—maybe it’s a recipe for authentic baklava or a dive into regional favorites that are hard to find outside Turkey. Short, sharp, and inviting. Just enough for them to say, “Wait, tell me more.” That’s when you know you’ve hooked them. ✅ Please, DO keep it simple ✅ Please, DO keep it simple Focus on Making the Sale You started all this to make sales—lots of them—and there’s nothing wrong with that. You’ve put in the work, gained experience, spent your time, and made a real effort to create something valuable. Naturally, you want to sell it as a polished product. After all, we live in a world of capitalism; selling is part of the game. But here’s the big BUT: nobody likes feeling like they’re just a walking wallet. When people sense they’re being treated as nothing more than a sale, it’s a quick turn-off. Instead, start by sharing a little value upfront—something that shows them the benefit of what you offer without pushing for the sale. For our Turkish pastry cookbook, maybe it’s a quick tip on mastering flaky dough or a recipe for a popular pastry. Give them a taste of what they’d be getting, and let them see the value themselves. This way, you’re building trust first, proving you’re here to offer something genuinely useful, not just to make a quick buck. People are far more likely to buy from someone who respects them enough to share value first. It’s a simple way to make them curious instead of feeling pressured. 🙅‍♀️ Nobody likes to be a victim of unexpected aggressive sales. So DON’T 🙅‍♀️ Nobody likes to be a victim of unexpected aggressive sales. So DON’T Share What Others Think Would you buy a book because a salesperson persuaded you, or because ten other people said it’s great? Well, both methods can work, but let’s be real: we’re social animals, and we rely on the opinions of others. If at least a handful of people can share a few words about your product—how it helped them, how cool it is—that can make a huge difference in building credibility. You might be struggling to get your first feedback, but don’t overlook your closer circle. Your family, friends, and their friends can be fantastic first reviewers. Reach out to them and ask for honest opinions. Encourage them to share their thoughts publicly, whether it’s a quick post on social media or a review on a platform where potential buyers might see it. Their endorsements can provide that social proof that makes others feel confident about giving your product a shot. After all, people trust recommendations from real users way more than a slick sales pitch. It’s all about showing that others have found value in what you offer. ✅ So go ahead and share what others think—because it’s a solid DO! ✅ So go ahead and share what others think—because it’s a solid DO! Neglect Follow-Ups Do you reply to all the emails and messages you receive? I used to do so, and I was actually surprised when I found out that not everyone does. Actually, I started to ignore them recently when I started to receive more of them, and a lot of them are far from relevant for me. People ignore messages not because they are rude. It’s just their right what to do with the received message. And pretty often they just miss some of them or decide to reply later and forget. Life happens, and this is a usual situation. So don’t hesitate to send a kind reminder after some time. A gentle nudge can be the perfect way to reignite interest without being pushy. 🙅‍♀️ So don’t just sit back and hope for the best—neglecting follow-ups is a definite DON’T if you want to keep the conversation going! 🙅‍♀️ So don’t just sit back and hope for the best—neglecting follow-ups is a definite DON’T if you want to keep the conversation going! The Final Even great products need to be marketed properly. Success isn’t about throwing everything out there and hoping it sticks - it’s about building relationships, being genuine, and giving people a reason to care about what you’re offering. Follow my digital product commerce saga on 𝕏 👉 https://x.com/alexhustles https://x.com/alexhustles

Dos and Don'ts of Cold Outreach for Digital Product Proposals

Hello JavaScript Enthusiasts!Welcome to this week’s edition of "This Week in JavaScript"! We’ve got a bunch of exciting updates for you, including a controversial proposal about splitting JavaScript, the latest Node.js release, some killer tools, and more. So buckle up, and let's get into it! JavaScript Might Become Two Languages? There's an intriguing buzz at TC39 around a new proposal—JS0 and JSSugar. Google’s proposal aims to split JavaScript into two parts: JS0, the core language that engines implement, and JSSugar, extra features that tools like WebPack compile down. The goal? Improve performance and security for JS engines by reducing the burden of new features. This could make JavaScript more efficient but may add complexity to the ecosystem. Some devs are excited, while others are worried about added complications. Will this actually simplify JavaScript or make it more complex? Only time will tell! NodeJS v23- Features you shouldn’t miss out The newest release of Node.js 23.0.0 is a feature-packed update that will make your development experience smoother than ever. require(esm) enabled by default: Finally! You can now use native ES modules without any flags. This is a long-awaited feature that should streamline your code and improve compatibility across projects.


--run command is stable: Run scripts directly with this stable feature, reducing setup time for your Node apps.


Glob patterns for test runner: Node’s test runner now supports glob patterns for coverage files, making it easier to manage large test suites.
New Tools and Releases
Now for some exciting new tools and releases to make your JavaScript projects even better:

**Electron 33.0.0:**Now running on Chromium 130 and Node 20.18.0, it brings improved history management, stronger cryptographic support, and native theme transparency. A heads up—you’ll need C++20 for native modules, but the performance boost is worth it!
**Hono:**If you’re looking for a fast, lightweight web framework, Hono is for you! Built with web standards, Hono runs everywhere JavaScript does—Cloudflare Workers, Deno, Bun, Node.js—you name it. Plus, it’s highly flexible and uses a Trie-based router for optimized request handling, ensuring high performance even in complex apps.
**Next.js 15 RC2:**This release candidate brings smoother upgrades and faster development with tools like Turbopack optimizations, async APIs, and enhanced server-side improvements. If you're into Next.js, this one’s definitely a must-try!
**Fast-grid update:**Need to handle massive datasets? Fast-grid just levelled up with multithreaded sorting and filtering. It uses shared array buffers for handling millions of rows at 120fps—ideal for smooth, performance-driven apps.
nvm-desktop v4.0.0: Managing Node.js versions just got easier with the new nvmd-command. Set Node versions per project, with an intuitive interface and no extra dependencies. It now also supports Tauri for seamless performance across macOS, Windows, and Linux!

That’s a wrap for this week! If you found these JavaScript updates useful, give this post an upvote to help others discover it.Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious!References
JS0 and JSSugarNodeJS v23Electron 33.0.0
Hono
NextJS 15 RC2Fast-grid update
nvm-desktop v4.0.0 Hello JavaScript Enthusiasts! Welcome to this week’s edition of " This Week in JavaScript "! This Week in JavaScript We’ve got a bunch of exciting updates for you, including a controversial proposal about splitting JavaScript, the latest Node.js release, some killer tools, and more. So buckle up, and let's get into it! JavaScript Might Become Two Languages? JavaScript Might Become Two Languages? There's an intriguing buzz at TC39 around a new proposal— JS0 and JSSugar . TC39 JS0 JSSugar Google’s proposal aims to split JavaScript into two parts: JS0, the core language that engines implement, and JSSugar, extra features that tools like WebPack compile down. Google’s proposal aims to split JavaScript into two parts: JS0, the core language that engines implement, and JSSugar, extra features that tools like WebPack compile down. Google’s proposal aims to split JavaScript into two parts: JS0, the core language that engines implement, and JSSugar, extra features that tools like WebPack compile down. Google’s proposal The goal? Improve performance and security for JS engines by reducing the burden of new features. This could make JavaScript more efficient but may add complexity to the ecosystem. Some devs are excited, while others are worried about added complications. The goal? Will this actually simplify JavaScript or make it more complex? Only time will tell! NodeJS v23- Features you shouldn’t miss out NodeJS v23- Features you shouldn’t miss out The newest release of Node.js 23.0.0 is a feature-packed update that will make your development experience smoother than ever. Node.js 23.0.0 require(esm) enabled by default: Finally! You can now use native ES modules without any flags. This is a long-awaited feature that should streamline your code and improve compatibility across projects. --run command is stable: Run scripts directly with this stable feature, reducing setup time for your Node apps. Glob patterns for test runner: Node’s test runner now supports glob patterns for coverage files, making it easier to manage large test suites.
New Tools and Releases
Now for some exciting new tools and releases to make your JavaScript projects even better:

**Electron 33.0.0:**Now running on Chromium 130 and Node 20.18.0, it brings improved history management, stronger cryptographic support, and native theme transparency. A heads up—you’ll need C++20 for native modules, but the performance boost is worth it!
**Hono:**If you’re looking for a fast, lightweight web framework, Hono is for you! Built with web standards, Hono runs everywhere JavaScript does—Cloudflare Workers, Deno, Bun, Node.js—you name it. Plus, it’s highly flexible and uses a Trie-based router for optimized request handling, ensuring high performance even in complex apps.
**Next.js 15 RC2:**This release candidate brings smoother upgrades and faster development with tools like Turbopack optimizations, async APIs, and enhanced server-side improvements. If you're into Next.js, this one’s definitely a must-try!
**Fast-grid update:**Need to handle massive datasets? Fast-grid just levelled up with multithreaded sorting and filtering. It uses shared array buffers for handling millions of rows at 120fps—ideal for smooth, performance-driven apps.
nvm-desktop v4.0.0: Managing Node.js versions just got easier with the new nvmd-command. Set Node versions per project, with an intuitive interface and no extra dependencies. It now also supports Tauri for seamless performance across macOS, Windows, and Linux!

That’s a wrap for this week! If you found these JavaScript updates useful, give this post an upvote to help others discover it.Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious!References
JS0 and JSSugarNodeJS v23Electron 33.0.0
Hono
NextJS 15 RC2Fast-grid update
nvm-desktop v4.0.0 require(esm) enabled by default: Finally! You can now use native ES modules without any flags. This is a long-awaited feature that should streamline your code and improve compatibility across projects. require(esm) enabled by default: Finally! You can now use native ES modules without any flags. This is a long-awaited feature that should streamline your code and improve compatibility across projects. require(esm) enabled by default: --run command is stable: Run scripts directly with this stable feature, reducing setup time for your Node apps. --run command is stable: Run scripts directly with this stable feature, reducing setup time for your Node apps. --run command is stable: Glob patterns for test runner: Node’s test runner now supports glob patterns for coverage files, making it easier to manage large test suites. New Tools and Releases Now for some exciting new tools and releases to make your JavaScript projects even better: **Electron 33.0.0:**Now running on Chromium 130 and Node 20.18.0, it brings improved history management, stronger cryptographic support, and native theme transparency. A heads up—you’ll need C++20 for native modules, but the performance boost is worth it!
**Hono:**If you’re looking for a fast, lightweight web framework, Hono is for you! Built with web standards, Hono runs everywhere JavaScript does—Cloudflare Workers, Deno, Bun, Node.js—you name it. Plus, it’s highly flexible and uses a Trie-based router for optimized request handling, ensuring high performance even in complex apps.
**Next.js 15 RC2:**This release candidate brings smoother upgrades and faster development with tools like Turbopack optimizations, async APIs, and enhanced server-side improvements. If you're into Next.js, this one’s definitely a must-try!
**Fast-grid update:**Need to handle massive datasets? Fast-grid just levelled up with multithreaded sorting and filtering. It uses shared array buffers for handling millions of rows at 120fps—ideal for smooth, performance-driven apps.
nvm-desktop v4.0.0: Managing Node.js versions just got easier with the new nvmd-command. Set Node versions per project, with an intuitive interface and no extra dependencies. It now also supports Tauri for seamless performance across macOS, Windows, and Linux! That’s a wrap for this week! If you found these JavaScript updates useful, give this post an upvote to help others discover it. Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious! References JS0 and JSSugarNodeJS v23Electron 33.0.0 Hono NextJS 15 RC2Fast-grid update nvm-desktop v4.0.0 Glob patterns for test runner: Node’s test runner now supports glob patterns for coverage files, making it easier to manage large test suites. Glob patterns for test runner: New Tools and Releases New Tools and Releases Now for some exciting new tools and releases to make your JavaScript projects even better: **Electron 33.0.0:**Now running on Chromium 130 and Node 20.18.0, it brings improved history management, stronger cryptographic support, and native theme transparency. A heads up—you’ll need C++20 for native modules, but the performance boost is worth it! **Hono:**If you’re looking for a fast, lightweight web framework, Hono is for you! Built with web standards, Hono runs everywhere JavaScript does—Cloudflare Workers, Deno, Bun, Node.js—you name it. Plus, it’s highly flexible and uses a Trie-based router for optimized request handling, ensuring high performance even in complex apps. **Next.js 15 RC2:**This release candidate brings smoother upgrades and faster development with tools like Turbopack optimizations, async APIs, and enhanced server-side improvements. If you're into Next.js, this one’s definitely a must-try! **Fast-grid update:**Need to handle massive datasets? Fast-grid just levelled up with multithreaded sorting and filtering. It uses shared array buffers for handling millions of rows at 120fps—ideal for smooth, performance-driven apps. nvm-desktop v4.0.0: Managing Node.js versions just got easier with the new nvmd-command. Set Node versions per project, with an intuitive interface and no extra dependencies. It now also supports Tauri for seamless performance across macOS, Windows, and Linux! **Electron 33.0.0:**Now running on Chromium 130 and Node 20.18.0, it brings improved history management, stronger cryptographic support, and native theme transparency. A heads up—you’ll need C++20 for native modules, but the performance boost is worth it! **Hono:**If you’re looking for a fast, lightweight web framework, Hono is for you! Built with web standards, Hono runs everywhere JavaScript does—Cloudflare Workers, Deno, Bun, Node.js—you name it. Plus, it’s highly flexible and uses a Trie-based router for optimized request handling, ensuring high performance even in complex apps. **Next.js 15 RC2:**This release candidate brings smoother upgrades and faster development with tools like Turbopack optimizations, async APIs, and enhanced server-side improvements. If you're into Next.js, this one’s definitely a must-try! **Fast-grid update:**Need to handle massive datasets? Fast-grid just levelled up with multithreaded sorting and filtering. It uses shared array buffers for handling millions of rows at 120fps—ideal for smooth, performance-driven apps. nvm-desktop v4.0.0: Managing Node.js versions just got easier with the new nvmd-command. Set Node versions per project, with an intuitive interface and no extra dependencies. It now also supports Tauri for seamless performance across macOS, Windows, and Linux! nvm-desktop v4.0.0: That’s a wrap for this week! If you found these JavaScript updates useful, give this post an upvote to help others discover it. Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious! References JS0 and JSSugar NodeJS v23 Electron 33.0.0 JS0 and JSSugar NodeJS v23 Electron 33.0.0 Hono Hono NextJS 15 RC2 Fast-grid update NextJS 15 RC2 Fast-grid update nvm-desktop v4.0.0 nvm-desktop v4.0.0

JavaScript JS0/JSSugar Proposals, Node.js 23, Next.js 15 RC2 and More - This Week in JS

September 9, 2024 - [Dubai, UAE] - Last week, Propchain announced the successful execution of its third proposal within the Propchain DAO, marking a significant milestone in its efforts to enhance the long-term value and sustainability of the $PROPC token ecosystem. The recently completed proposal focused on a strategic token burn initiative, reinforcing Propchain's commitment to community engagement and economic prudence. The initiative aimed to reinforce the economic foundation of the $PROPC token by reducing the total supply by approximately 25%, from 85 million to 64 million tokens. The token burn specifically targeted vested tokens, ensuring that unvested tokens remained unaffected. This approach was designed to decrease the monthly unvested token amount, effectively lowering the token's monthly inflation and fostering a more stable and sustainable economic environment. The token burn was conducted on a pro-rata basis, guaranteeing that each token holder's proportional ownership remained unchanged. For instance, a holder with 0.01% of the total supply before the burn would still maintain approximately 0.01% after the burn. This strategy ensured fairness for all holders while reducing the overall supply and increasing the percentage of tokens in circulation from approximately 24.4% to 32.4%. Such measures are essential for strengthening projects in the RWA space, where economic stability and long-term value creation are critical. By carefully managing token supply and reducing inflationary pressures, Propchain is ensuring that its platform remains appealing to both investors and users. This not only bolsters confidence in the $PROPC token but also sets a standard for responsible and sustainable growth within the RWA sector. The successful execution of this proposal is expected to greatly enhance the tokenomics of $PROPC by reducing inflationary pressures and enabling a healthier economic environment for the token. Propchain visualizes this achievement as a vital step forward in its ongoing token integration plans and in maintaining the integrity of its ecosystem. About Propchain Propchain leads the way in real estate investment platforms, placing consumer needs at the forefront by providing effortless access to tokenized assets and a user-friendly digital interface for asset management. It aims to revolutionize the real estate industry through the widespread adoption of blockchain technology, facilitating improved market dynamics, transparency, and long-term sustainability. Propchain's journey is marked by significant milestones, strategic focus, and innovative real estate strategies. With its dedication to digitally empowering the real estate value chain through investing and strategic positioning in the global market, Propchain is set to redefine the real estate investment landscape and continue its path of success. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. September 9, 2024 - [Dubai, UAE] - Last week, Propchain announced the successful execution of its third proposal within the Propchain DAO, marking a significant milestone in its efforts to enhance the long-term value and sustainability of the $PROPC token ecosystem. The recently completed proposal focused on a strategic token burn initiative, reinforcing Propchain's commitment to community engagement and economic prudence. The initiative aimed to reinforce the economic foundation of the $PROPC token by reducing the total supply by approximately 25%, from 85 million to 64 million tokens. The token burn specifically targeted vested tokens, ensuring that unvested tokens remained unaffected. This approach was designed to decrease the monthly unvested token amount, effectively lowering the token's monthly inflation and fostering a more stable and sustainable economic environment. The token burn was conducted on a pro-rata basis, guaranteeing that each token holder's proportional ownership remained unchanged. For instance, a holder with 0.01% of the total supply before the burn would still maintain approximately 0.01% after the burn. This strategy ensured fairness for all holders while reducing the overall supply and increasing the percentage of tokens in circulation from approximately 24.4% to 32.4%. Such measures are essential for strengthening projects in the RWA space, where economic stability and long-term value creation are critical. By carefully managing token supply and reducing inflationary pressures, Propchain is ensuring that its platform remains appealing to both investors and users. This not only bolsters confidence in the $PROPC token but also sets a standard for responsible and sustainable growth within the RWA sector. The successful execution of this proposal is expected to greatly enhance the tokenomics of $PROPC by reducing inflationary pressures and enabling a healthier economic environment for the token. Propchain visualizes this achievement as a vital step forward in its ongoing token integration plans and in maintaining the integrity of its ecosystem. About Propchain Propchain leads the way in real estate investment platforms, placing consumer needs at the forefront by providing effortless access to tokenized assets and a user-friendly digital interface for asset management. It aims to revolutionize the real estate industry through the widespread adoption of blockchain technology, facilitating improved market dynamics, transparency, and long-term sustainability. Propchain Propchain Propchain's journey is marked by significant milestones, strategic focus, and innovative real estate strategies. With its dedication to digitally empowering the real estate value chain through investing and strategic positioning in the global market, Propchain is set to redefine the real estate investment landscape and continue its path of success. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Propchain Executes Latest DAO Proposal, Reducing $PROPC Supply To Advance Token Integration

ፕሮፕቻይን የቅርብ ጊዜውን የDAO ፕሮፖዛል ያስፈጽማል፣ ለቅድመ ማስመሰያ ውህደት የ$PROPC አቅርቦትን ይቀንሳል።

Propchain تنفذ أحدث مقترحات DAO، مما يقلل من عرض $PROPC لتعزيز تكامل الرموز

Propchain, Token inteqrasiyasını inkişaf etdirmək üçün $ PROPC tədarükünü azaldaraq ən son DAO təklifini icra edir

Propchain изпълнява най-новото предложение за DAO, намалявайки предлагането на $PROPC за напреднала интеграция на токени

Propchain izvršava najnoviji DAO prijedlog, smanjujući zalihe $PROPC radi unapređenja integracije tokena

Propchain executa la darrera proposta de DAO, reduint el subministrament de $PROPC per avançar en la integració de fitxes

Propchain ejecuta la última propuesta DAO y reduce el suministro de $PROPC para avanzar en la integración de tokens

Propchain が最新の DAO 提案を実行し、トークン統合を進めるために $PROPC の供給を削減

Propchain د DAO وروستی وړاندیز اجرا کوي، د $ PROPC اکمالات کموي ترڅو د ټوکن ادغام ته وده ورکړي

Propchain реализует последнее предложение DAO, сокращая предложение $PROPC для продвижения интеграции токенов

ፕሮፕቸይን ንውህደት ቶከን ንምምዕባል፡ ቀረብ $PROPC ብምንካይ፡ ናይ መወዳእታ ናይ DAO እማመ ይፍጽም

Propchain реалізує останню пропозицію DAO, зменшуючи поставку $PROPC для вдосконалення інтеграції токенів

Looks Like Craig Wright’s Dissertation Proposal Took a Time Machine to 2019

GRAND CAYMAN, Cayman Islands, July 9th, 2024/Chainwire/--In a step forward for the derivatives ecosystem on Arbitrum, two prominent DeFi projects, GMX and Gains Network, have unveiled bids to integrate their platforms into Kwenta’s upcoming perpetuals marketplace. Kwenta, the leading perpetual futures exchange on Optimism, expanded its reach earlier this year by launching the Base network, reflecting a larger plan to connect derivatives liquidity across multiple chains. This announcement follows the recent approval of a grant from the Arbitrum DAO aimed at supporting Kwenta's initial expansion to the Arbitrum network. Product Offerings from GMX and Gains NeNetwork GMX and Gains Network have submitted their proposals to integrate their liquidity into Kwenta's platform. These integrations aim to enhance the trading experience for Kwenta users by providing access to additional markets and liquidity, while taking advantage of Kwenta’s UX-focused roadmap, which includes allowing traders to log in with traditional web2 credentials and sponsoring gasless transactions. GMX v2, Arbitrum’s flagship perpetual futures AMM (Automated Market Maker), built on the initial success of their v1 product by being the first to integrate Chainlink Data Streams, a low latency product from the leading oracle provider aimed at high-performance applications. The lower fees and wider selection of markets available on GMX v2 allowed the offering to quickly grow in popularity with onchain traders. Gains Network, known for its gTrade platform, offers a wide variety of trading pairs, including cryptocurrencies, forex, and commodities, supported by their decentralized oracle network. Gains Network’s innovative approach to perpetual futures provides traders access to up to 150x leverage on a growing list of nearly 200 markets. Strengthening the Arbitrum Ecosystem The integration of GMX and Gains Network into Kwenta’s perpetuals marketplace is expected to drive growth in the onchain perpetuals space by allowing users to easily access advanced DeFi products from Kwenta’s easy-to-use UX layer. While retail-focused applications have made huge steps forward in allowing users to quickly access the best prices for token swaps and bridging, onchain leverage has remained a complex product for more sophisticated DeFi enthusiasts. This strategic expansion brings Arbitrum’s most popular derivatives trading venues under a single platform, providing a simple and familiar experience for traders new to onchain products. Kwenta’s roadmap promises to build on these quality of life features, allowing users to interact with multiple protocols in a single application. Looking Ahead Kwenta is currently inviting community feedback on these proposals as it moves towards finalizing its perpetuals marketplace. The potential integrations with GMX and Gains Network align with Kwenta’s mission to provide a superior decentralized trading experience. With these developments, Kwenta is aims to become a leading venue for DeFi derivatives trading on Arbitrum. About Kwenta Kwenta is an onchain derivatives marketplace on Optimism, Base, and Arbitrum. The platform offers easy-to-use tools to access deep liquidity and low fees onchain, while users retain full custody of their funds. With over $50 billion in trading volume through its community-governed platform, Kwenta is committed to developing tools that bring DeFi to everyone.For more details, users can follow Kwenta's governance discussion channels on Discord. Contact MarketingDAO PM Burt Rock Kwenta info@kwenta.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here GRAND CAYMAN, Cayman Islands, July 9th, 2024/Chainwire/--In a step forward for the derivatives ecosystem on Arbitrum, two prominent DeFi projects, GMX and Gains Network, have unveiled bids to integrate their platforms into Kwenta’s upcoming perpetuals marketplace. Kwenta, the leading perpetual futures exchange on Optimism, expanded its reach earlier this year by launching the Base network, reflecting a larger plan to connect derivatives liquidity across multiple chains. This announcement follows the recent approval of a grant from the Arbitrum DAO aimed at supporting Kwenta's initial expansion to the Arbitrum network. Product Offerings from GMX and Gains NeNetwork GMX and Gains Network have submitted their proposals to integrate their liquidity into Kwenta's platform. These integrations aim to enhance the trading experience for Kwenta users by providing access to additional markets and liquidity, while taking advantage of Kwenta’s UX-focused roadmap, which includes allowing traders to log in with traditional web2 credentials and sponsoring gasless transactions. GMX v2, Arbitrum’s flagship perpetual futures AMM (Automated Market Maker), built on the initial success of their v1 product by being the first to integrate Chainlink Data Streams, a low latency product from the leading oracle provider aimed at high-performance applications. The lower fees and wider selection of markets available on GMX v2 allowed the offering to quickly grow in popularity with onchain traders. Gains Network, known for its gTrade platform, offers a wide variety of trading pairs, including cryptocurrencies, forex, and commodities, supported by their decentralized oracle network. Gains Network’s innovative approach to perpetual futures provides traders access to up to 150x leverage on a growing list of nearly 200 markets. Strengthening the Arbitrum Ecosystem The integration of GMX and Gains Network into Kwenta’s perpetuals marketplace is expected to drive growth in the onchain perpetuals space by allowing users to easily access advanced DeFi products from Kwenta’s easy-to-use UX layer. While retail-focused applications have made huge steps forward in allowing users to quickly access the best prices for token swaps and bridging, onchain leverage has remained a complex product for more sophisticated DeFi enthusiasts. This strategic expansion brings Arbitrum’s most popular derivatives trading venues under a single platform, providing a simple and familiar experience for traders new to onchain products. Kwenta’s roadmap promises to build on these quality of life features, allowing users to interact with multiple protocols in a single application. Looking Ahead Kwenta is currently inviting community feedback on these proposals as it moves towards finalizing its perpetuals marketplace. The potential integrations with GMX and Gains Network align with Kwenta’s mission to provide a superior decentralized trading experience. With these developments, Kwenta is aims to become a leading venue for DeFi derivatives trading on Arbitrum. About Kwenta Kwenta is an onchain derivatives marketplace on Optimism, Base, and Arbitrum. The platform offers easy-to-use tools to access deep liquidity and low fees onchain, while users retain full custody of their funds. With over $50 billion in trading volume through its community-governed platform, Kwenta is committed to developing tools that bring DeFi to everyone.For more details, users can follow Kwenta's governance discussion channels on Discord. Contact MarketingDAO PM Burt Rock Kwenta info@kwenta.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Kwenta Receives Proposals To Integrate GMX And Gains Network Into Perpetuals Marketplace

Kwenta GMX একীভূত করার প্রস্তাব পেয়েছে এবং চিরস্থায়ী মার্কেটপ্লেসে নেটওয়ার্ক লাভ করেছে

Kwenta erhält Angebote zur Integration von GMX und gewinnt Netzwerk in Perpetuals Marketplace

Kwenta recibe propuestas para integrar GMX y gana red en el mercado perpetuo

Kwenta reçoit des propositions pour intégrer GMX et gagne du réseau dans le marché perpétuel

क्वेंटा को GMX को एकीकृत करने और पर्पेचुअल्स मार्केटप्लेस में नेटवर्क हासिल करने के प्रस्ताव प्राप्त हुए

クウェンタはGMXを統合する提案を受け、永久債マーケットプレイスにネットワークを獲得

Kwenta는 GMX를 통합하고 Perpetuals Marketplace에 네트워크를 확보하라는 제안을 받았습니다.

Kwenta recebe propostas para integrar GMX e ganha rede no mercado perpétuo

Kwenta получает предложения по интеграции сети GMX и Gains в рынок бессрочных контрактов

Kwenta, GMX'i Entegre Etmek ve Ağı Sürekli Piyasaya Kazandırmak İçin Teklifler Aldı

Kwenta nhận được đề xuất tích hợp GMX và tăng mạng lưới vào thị trường Perpetuals

Kwenta 收到整合 GMX 和获得网络进入永久资产市场的提案

Note: Hello, I am V. Before you read on I just want to say that I understand the magnitude of my ambition and am not afraid to reach higher. I may not know everything, but that won’t stop me. All feedback is accepted. The more there is to fix, the better the final product will be. MANA - A Community Directed Decentralized Price Prediction Market Abstract The concept of cryptocurrency has been in existence for around 40 years and has now become a significant asset for investors to consider. Cryptocurrencies enable tradable exchange without the involvement of a third party, leading many individuals to pursue cryptocurrency trading as a career. With tradable cryptocurrencies like Bitcoin, Ethereum, Solana, and more, it's increasingly possible for people with limited experience in cryptocurrency and investing to quickly acquire knowledge and skills in this field. This often leads to a deep interest in the financial markets. MANA is positioned as a platform for profitable trading and a community-driven marketplace. While other organizations have introduced features enabling users to make predictions and interact, MANA aims to welcome users of all experience levels to test their expertise. It's a place where users can vote on the price movements of cryptocurrencies. Project Overview MANA is a decentralized platform leveraging blockchain technology to enable community-driven price predictions for various assets. Utilizing the MANA Token (MNAT), participants can vote on future price movements every two hours, stake their tokens, and earn rewards for accurate predictions. The MANA platform aims to harness collective intelligence for market analysis while providing all participants with a fair, transparent, and engaging experience. Price prediction is a valuable tool for traders and investors. Traditional methods often rely on expert analysis or algorithmic predictions, which can be biased or lack transparency, but the markets are run by people. If an entity sold a large amount Bitcoin the price of bitcoin would go down due to supply and demand. MANA offers a decentralized alternative, where community members contribute their insights to predict price movements, creating a collective intelligence that enhances market understanding. Voting Mechanism & Staking Community members must submit their predictions on where the price of a specific asset will be every two hours. This continuous voting cycle ensures up-to-date and relevant predictions that reflect the latest market sentiments. To participate in voting, members must stake MNAT tokens. Staking serves as a commitment to their prediction and helps prevent spam or malicious activities. The amount staked reflects the voter's confidence in their prediction. By staking tokens, users contribute to a larger pool of staked tokens that are then distributed amongst voters with the most accuracy. To maximize potential gains, members will need to stake more tokens. In other words, the more you put in, the more you'll get out. Data Collection The smart contract records all votes and the corresponding staked amounts, ensuring complete transparency and immutability of the voting process. This data is publicly accessible and verifiable by anyone. While the voting data is public, the identity of the voters remains pseudonymous, linked only to their wallet addresses, to maintain the utmost security and privacy possible. Outcome Verification & Reward Distribution The voting period will take place once every two hours, during that time users can vote on where the price will be by the end of the voting period. Although to prevent potential security flaws voting will pause 10 minutes before the next interval. At the end of each voting period an oracle will retrieve the actual price data from a reliable source. The smart contract will then verify the outcome by comparing the actual price change to the community's predictions. Participants who make the closest predictions about price movements will receive rewards from the pool of staked tokens. The rewards are distributed proportionally based on the amount staked, which encourages accurate predictions and active participation. Those who make the furthest incorrect predictions forfeit their staked tokens, which are then redistributed among the correct predictors. Security & Fairness The smart contract ensures that the voting process is secure and tamper-proof. Utilizing a reliable oracle minimizes the risk of manipulation, maintaining the integrity of the prediction outcomes. Community Engagement My vision for MANA is promoting active community engagement by enabling members to actively participate in market predictions. This initiative not only provides invaluable insights into market trends, but also fosters a gamified experience that is both educational and rewarding.  I want to allow users to get people stake as much money as they want so long as they can afford it, essentially balancing balances user autonomy with their own discretion. Use Cases: Trading Signals: Traders can confidently utilize the collective predictions as signals to inform and enhance their trading strategies.
Market Analysis: Analysts and researchers can rely on the aggregated data for in-depth market sentiment analysis.
Gamified Learning: Trading novices can confidently immerse themselves in learning about market dynamics in an engaging, low-risk environment.
Competitive High Risk Earning: Traders with the most confidence can stake MNAT tokens for potentially higher gains allowing users to mix their earning with their day trading tasks. Technical Details Smart Contract & Oracle Integration The MANA smart contract is built on the secure and stable Ethereum network, ensuring efficient and reliable execution of voting, staking, and reward distribution. A robust and decentralized oracle system fetches accurate price data, ensuring the integrity and reliability of the outcome verification process. Tokenomics Token Name: Mana Token Token Symbol: MNAT Total Supply: 333,000,000 MNAT MNAT tokens are used for staking, voting, and reward distribution within the MANA platform. Please take note of the following planned token allocation (ACTIVELY SUBJECT TO CHANGE): Founder's Allocation: 15% (49.95M MNAT)
Development Fund: 15% (49.95M MNAT)
Marketing and Partnerships: 10% (33.3M MNAT)
Community and Ecosystem Incentives: 20% (66.6M MNAT)
Liquidity Pool: 35% (116.M MNAT)
Reserve Fund: 5% (16.65M MNAT) Roadmap Q3 2024: Concept Development and White Paper Release
Q4 2024: Smart Contract Development and Testing
Q1 2025: Oracle Integration and Platform Beta Launch
Q2 2025: Full Platform Launch and Community Building
Q3 2025: Expansion to Additional Assets and Enhanced Features Conclusion MANA represents an approach to decentralized price prediction, leveraging the power of community intelligence and blockchain technology. By allowing participants to stake MNAT tokens and vote on price movements, MANA creates a transparent, fair, and engaging platform for market predictions. Join us in revolutionizing the way we understand and engage with financial markets. Lets see what the effect of the platform (if grown large enough) has on the greater crypto market. Thanks for reading, V. Link to Git Repo (Don’t bother reading the README): MANA - Global Participation in the face of uncertainty Note: Hello, I am V. Before you read on I just want to say that I understand the magnitude of my ambition and am not afraid to reach higher. I may not know everything, but that won’t stop me. All feedback is accepted. The more there is to fix, the better the final product will be. Note: Hello, I am V. Before you read on I just want to say that I understand the magnitude of my ambition and am not afraid to reach higher. I may not know everything, but that won’t stop me. All feedback is accepted. The more there is to fix, the better the final product will be. MANA - A Community Directed Decentralized Price Prediction Market Abstract The concept of cryptocurrency has been in existence for around 40 years and has now become a significant asset for investors to consider. Cryptocurrencies enable tradable exchange without the involvement of a third party, leading many individuals to pursue cryptocurrency trading as a career. With tradable cryptocurrencies like Bitcoin, Ethereum, Solana, and more, it's increasingly possible for people with limited experience in cryptocurrency and investing to quickly acquire knowledge and skills in this field. This often leads to a deep interest in the financial markets. MANA is positioned as a platform for profitable trading and a community-driven marketplace. While other organizations have introduced features enabling users to make predictions and interact, MANA aims to welcome users of all experience levels to test their expertise. It's a place where users can vote on the price movements of cryptocurrencies. Project Overview MANA is a decentralized platform leveraging blockchain technology to enable community-driven price predictions for various assets. Utilizing the MANA Token (MNAT), participants can vote on future price movements every two hours, stake their tokens, and earn rewards for accurate predictions. The MANA platform aims to harness collective intelligence for market analysis while providing all participants with a fair, transparent, and engaging experience. Price prediction is a valuable tool for traders and investors. Traditional methods often rely on expert analysis or algorithmic predictions, which can be biased or lack transparency, but the markets are run by people. If an entity sold a large amount Bitcoin the price of bitcoin would go down due to supply and demand. MANA offers a decentralized alternative, where community members contribute their insights to predict price movements, creating a collective intelligence that enhances market understanding. Voting Mechanism & Staking Community members must submit their predictions on where the price of a specific asset will be every two hours. This continuous voting cycle ensures up-to-date and relevant predictions that reflect the latest market sentiments. To participate in voting, members must stake MNAT tokens. Staking serves as a commitment to their prediction and helps prevent spam or malicious activities. The amount staked reflects the voter's confidence in their prediction. By staking tokens, users contribute to a larger pool of staked tokens that are then distributed amongst voters with the most accuracy. To maximize potential gains, members will need to stake more tokens. In other words, the more you put in, the more you'll get out. Data Collection The smart contract records all votes and the corresponding staked amounts, ensuring complete transparency and immutability of the voting process. This data is publicly accessible and verifiable by anyone. While the voting data is public, the identity of the voters remains pseudonymous, linked only to their wallet addresses, to maintain the utmost security and privacy possible. Outcome Verification & Reward Distribution The voting period will take place once every two hours, during that time users can vote on where the price will be by the end of the voting period. Although to prevent potential security flaws voting will pause 10 minutes before the next interval. At the end of each voting period an oracle will retrieve the actual price data from a reliable source. The smart contract will then verify the outcome by comparing the actual price change to the community's predictions. Participants who make the closest predictions about price movements will receive rewards from the pool of staked tokens. The rewards are distributed proportionally based on the amount staked, which encourages accurate predictions and active participation. Those who make the furthest incorrect predictions forfeit their staked tokens, which are then redistributed among the correct predictors. Security & Fairness The smart contract ensures that the voting process is secure and tamper-proof. Utilizing a reliable oracle minimizes the risk of manipulation, maintaining the integrity of the prediction outcomes. Community Engagement My vision for MANA is promoting active community engagement by enabling members to actively participate in market predictions. This initiative not only provides invaluable insights into market trends, but also fosters a gamified experience that is both educational and rewarding.  I want to allow users to get people stake as much money as they want so long as they can afford it, essentially balancing balances user autonomy with their own discretion. Use Cases: Trading Signals: Traders can confidently utilize the collective predictions as signals to inform and enhance their trading strategies. Market Analysis: Analysts and researchers can rely on the aggregated data for in-depth market sentiment analysis. Gamified Learning: Trading novices can confidently immerse themselves in learning about market dynamics in an engaging, low-risk environment. Competitive High Risk Earning: Traders with the most confidence can stake MNAT tokens for potentially higher gains allowing users to mix their earning with their day trading tasks. Trading Signals: Traders can confidently utilize the collective predictions as signals to inform and enhance their trading strategies. Market Analysis: Analysts and researchers can rely on the aggregated data for in-depth market sentiment analysis. Gamified Learning: Trading novices can confidently immerse themselves in learning about market dynamics in an engaging, low-risk environment. Competitive High Risk Earning: Traders with the most confidence can stake MNAT tokens for potentially higher gains allowing users to mix their earning with their day trading tasks. Technical Details Technical Details Smart Contract & Oracle Integration The MANA smart contract is built on the secure and stable Ethereum network, ensuring efficient and reliable execution of voting, staking, and reward distribution. A robust and decentralized oracle system fetches accurate price data, ensuring the integrity and reliability of the outcome verification process. Tokenomics Token Name: Mana Token Token Symbol: MNAT Total Supply: 333,000,000 MNAT MNAT tokens are used for staking, voting, and reward distribution within the MANA platform. Please take note of the following planned token allocation (ACTIVELY SUBJECT TO CHANGE): Founder's Allocation: 15% (49.95M MNAT) Development Fund: 15% (49.95M MNAT) Marketing and Partnerships: 10% (33.3M MNAT) Community and Ecosystem Incentives: 20% (66.6M MNAT) Liquidity Pool: 35% (116.M MNAT) Reserve Fund: 5% (16.65M MNAT) Founder's Allocation: 15% (49.95M MNAT) Development Fund: 15% (49.95M MNAT) Marketing and Partnerships: 10% (33.3M MNAT) Community and Ecosystem Incentives: 20% (66.6M MNAT) Liquidity Pool: 35% (116.M MNAT) Reserve Fund: 5% (16.65M MNAT) Roadmap Q3 2024: Concept Development and White Paper Release Q4 2024: Smart Contract Development and Testing Q1 2025: Oracle Integration and Platform Beta Launch Q2 2025: Full Platform Launch and Community Building Q3 2025: Expansion to Additional Assets and Enhanced Features Q3 2024: Concept Development and White Paper Release Q4 2024: Smart Contract Development and Testing Q1 2025: Oracle Integration and Platform Beta Launch Q2 2025: Full Platform Launch and Community Building Q3 2025: Expansion to Additional Assets and Enhanced Features Conclusion MANA represents an approach to decentralized price prediction, leveraging the power of community intelligence and blockchain technology. By allowing participants to stake MNAT tokens and vote on price movements, MANA creates a transparent, fair, and engaging platform for market predictions. Join us in revolutionizing the way we understand and engage with financial markets. Lets see what the effect of the platform (if grown large enough) has on the greater crypto market. Thanks for reading, V. Link to Git Repo (Don’t bother reading the README): MANA - Global Participation in the face of uncertainty (Don’t bother reading the README): MANA - Global Participation in the face of uncertainty

Proposal for a Collective Price Prediction Protocol

একটি সমষ্টিগত মূল্য পূর্বাভাস প্রোটোকল জন্য প্রস্তাব

Vorschlag für ein kollektives Preisvorhersageprotokoll

Propuesta de protocolo colectivo de predicción de precios

Proposition d’un protocole collectif de prévision des prix

सामूहिक मूल्य पूर्वानुमान प्रोटोकॉल का प्रस्ताव

集合的価格予測プロトコルの提案

집단 가격 예측 프로토콜에 대한 제안

Proposta de Protocolo Coletivo de Previsão de Preços

Предложение по протоколу коллективного прогнозирования цен

Toplu Fiyat Tahmin Protokolü Önerisi

Đề xuất về Giao thức dự đoán giá tập thể

集体价格预测协议提案

Recently, Ethereum founder Vitalik Buterin proposed integrating (ZK-EVM) into Ethereum's Layer-1. This proposal is aimed at creating a native system within the Ethereum protocol that utilizes Zero-Knowledge Proofs for the verification of Ethereum blocks. an enshrined Zero-Knowledge Ethereum Virtual Machine The primary objective of integrating ZK-EVM into Ethereum's core is to reduce the blockchain's dependence on external codebases, potentially lowering the risks associated with bugs in these systems. The proposal suggests that incorporating ZK-EVM at the protocol level could improve Ethereum's network operations' security and processing speed. The idea of "enshrining" ZK-EVM within Ethereum's protocol is significant because it represents a structural enhancement to the blockchain's framework. The proposal aims to bolster the network's efficiency and security capabilities by making ZK-EVM a core component of Ethereum. This integration is also aligned with Ethereum's multi-client philosophy, which supports the use of various proving systems across different clients. The enshrinement of ZK-EVM is presented as a strategic update to Ethereum's infrastructure, designed to address scalability, privacy, and efficiency challenges, thereby supporting Ethereum's growth and adaptation to future demands. An example of a ZK-VM is the Polygon zkEVM, a bit like a turbo-charged engine for blockchain apps, designed to work with Ethereum but faster and cheaper. It's a kind of virtual machine that uses something called zero-knowledge proofs to process transactions. These proofs help speed things up and cut costs, all while keeping the rock-solid security Ethereum is known for. Under the hood, Polygon zkEVM uses a combination of two technologies, SNARKs and STARKs, to make things efficient and speedy. SNARKs help make the data smaller, which is great for saving space and costs, while STARKs speed up the process of proving that transactions are legit. By running several of these proof generators simultaneously, Polygon zkEVM can handle many more transactions at once, making the whole system faster and smoother for everyone. Another example is Linea, a Type 2 zkEVM with full EVM equivalence that enables compatibility with most of Ethereum's decentralized applications (DApps). Consequently, developers can port their DApps from Ethereum to Linea without extensive modifications. This compatibility extends to the ease of migrating code back to Ethereum or to other EVM-compatible blockchains, emphasizing Linea's adaptability and interoperability within the broader blockchain ecosystem. Since it is EVM-equivalent, it operates similarly to Ethereum's mainnet, providing a platform for developers to create and use smart contracts in an environment they are already familiar with. This similarity is designed to facilitate the transition for developers accustomed to Ethereum, enabling them to utilize Linea without significant adjustments to their workflow. The Developer Exodus to EVM Chains Electric Capital's latest report sheds light on a fascinating shift happening in the blockchain world: a huge number of developers are flocking to Ethereum Virtual Machine (EVM)-compatible chains. The report reveals a staggering fact - This shows how EVM chains are a magnet for developer talent and points to a significant change in where developers choose to spend their time and energy. 87% of all multichain developers have worked on at least one EVM-compatible network. The report also discusses a cool trend of "cross-pollination" among developers. A big chunk of them are not just sticking to one but are spreading their ideas and code across different EVM-compatible chains. The EVM ecosystem is where they want to be. So, what's pulling developers towards EVM chains? A few big reasons stand out. For starters, these chains gel well with Ethereum's standards and protocols, making it easy for developers to jump in without skipping a beat. They can use what they already know and what they've already built, cutting down on the time and effort needed to get up to speed. For example, the EOS EVM works as a bridge between the EOS and Ethereum ecosystems, letting developers bring over Solidity-based projects—think digital assets and dApps—from Ethereum into the high-speed, high-efficiency world of EOS. It's like taking the best of both worlds: Ethereum's rich ecosystem and mature tools, and combining them with the power-packed performance EOS is known for. The EVM also supports WebSocket a tool for developing applications that need to talk back and forth with the server in real-time, without the delay you'd typically get with regular HTTP requests. This means developers can build more responsive and interactive applications directly on the EOS EVM, from chat apps and live trading platforms to DeFi notifications and NFT mint tracking. Then there's the toolbox and community support with Ethereum and its kin. Developers can access everything from top-notch documentation to ready-made smart contract templates and forums full of fellow coding enthusiasts. This wealth of resources makes it a breeze to build, experiment, and innovate. But it's not just about the ease of use. Cost and scalability are huge, too. With Ethereum's gas fees sometimes hitting the roof, developers are looking for places to build without burning through cash. EVM-compatible chains often offer a sweet spot of lower costs and higher performance, making them super appealing for anyone wanting to deploy dApps or smart contracts. Plus, the rise of layer-2 solutions and sidechains means even better scalability and affordability, all while staying friendly with Ethereum's ecosystem. Real-life stories of projects making the move to EVM chains are everywhere. Take Polygon and Binance Smart Chain, which have become hotspots for everything from DeFi projects to NFT marketplaces. Developers behind these moves often talk about how the switch made sense for them in terms of deployment ease, cost savings, and reaching a wider audience. Hearing from developers themselves, it's clear they're thinking strategically. They're not just chasing the next big thing; they're looking for platforms that offer the best mix of tech savvy, economic sense, and audience reach. This shift to EVM-compatible chains isn't just a trend. It's a calculated move by developers aiming to maximize the blockchain's potential, focusing on efficiency, scalability, and the chance to connect with more users. The Rising Adoption of EVM as a Cost-Effective Alternative Flipside, a platform diving deep into blockchain data, as a wallet-friendly choice in the blockchain world. They've noticed a big trend: people and developers are leaning more towards EVM-compatible layer-2 networks. has shed light on how the Ethereum Virtual Machine (EVM) is gaining traction Searching for cheaper transaction costs and quicker processing times mainly drives this move. Given Ethereum's own struggles with sky-high gas fees and jam-packed networks, it's no surprise that folks are looking for smoother options. Flipside's findings suggest this isn't just a fleeting trend. It looks like we're witnessing a shift that could really shake up the market, pushing towards alternatives to Ethereum. The push for EVM-compatible options is part of a larger movement in the industry, where keeping costs down and boosting performance is key. New players and ecosystems might enter the scene as developers and users flock to platforms that strike the correct balance between cost efficiency and performance. This could lead to a more diverse blockchain ecosystem, with various chains and layer-2 solutions living side by side, offering more choices to developers and users alike. The landscape for EVM chains and Ethereum seems set for continuous evolution, with upgrades aimed at tackling scalability and affordability. How EVM-compatible chains fit into this picture will likely shift as these improvements roll out. Aspects like environmental impact, governance, and how well different systems work together will take on bigger roles as the ecosystem grows. Moreover, the ability for Ethereum and EVM-compatible chains to work seamlessly together will be vital for a cohesive blockchain ecosystem that doesn't sacrifice security or the spirit of decentralization for efficiency and user experience. Flipside's insights into the EVM's rise as a budget-friendly alternative highlight a significant moment for the blockchain industry. This trend is shaking up the competitive landscape and fuelling innovation, possibly leading to the birth of new platforms and ecosystems. As the blockchain space continues to unfold, the importance of sustainability, governance, and interoperability in shaping the future success of EVM chains and Ethereum will only grow. These trends paint a picture of a blockchain future where adaptability, efficiency, and inclusivity are front and center. Conclusion The Ethereum and its underlying technology, the Ethereum Virtual Machine (EVM), is undergoing some pretty exciting changes. It's a time full of opportunities for developers, investors, and anyone passionate about blockchain. As more chains become compatible with EVM and innovations keep popping up within Ethereum itself, we're seeing a sector that's growing fast and opening new doors for exploration, development, and investment. The expanding EVM ecosystem is like a vast playground for the tech wizards out there. Innovations like ZK-EVM are making Ethereum more scalable and private, making it an even better place for developing decentralized apps. Whether you're into creating the next big DeFi platform, crafting unique NFT experiences, or pushing the boundaries with new blockchain apps, now's the time to dive in. The community's strong, the tools and endless possibilities exist. Investors, you're up for an exciting ride too. Electric Capital and Flipside reports show a surge of interest in EVM-compatible solutions. This buzz is creating a fertile ground for investments that could pay off big time down the line. It's a good moment to look into projects and platforms within the EVM ecosystem, as your investments could help shape the future of decentralized tech. And let's not forget the blockchain enthusiasts – your voice matters more than ever. Getting involved in governance, joining the conversation in community forums, or spreading the latest in EVM tech can make a real difference. These collective actions will help push the ecosystem to be more open, inclusive, and true to the spirit of decentralization.

EVMs in 2024: Vitalik's ZK-EVM Proposal and the Developer Shift to EVM Chains

Doctor Thorne by Anthony Trollope, is part of the HackerNoon Books Series. You can jump to any chapter in this book . The Proposal here The Proposal And now the departures from Courcy Castle came rapidly one after another, and there remained but one more evening before Miss Dunstable's carriage was to be packed. The countess, in the early moments of Frank's courtship, had controlled his ardour and checked the rapidity of his amorous professions; but as days, and at last weeks, wore away, she found that it was necessary to stir the fire which she had before endeavoured to slacken. "There will be nobody here to-night but our own circle," said she to him, "and I really think you should tell Miss Dunstable what your intentions are. She will have fair ground to complain of you if you do not." Frank began to feel that he was in a dilemma. He had commenced making love to Miss Dunstable partly because he liked the amusement, and partly from a satirical propensity to quiz his aunt by appearing to fall into her scheme. But he had overshot the mark, and did not know what answer to give when he was thus called upon to make a downright proposal. And then, although he did not care two rushes about Miss Dunstable in the way of love, he nevertheless experienced a sort of jealousy when he found that she appeared to be indifferent to him, and that she corresponded the meanwhile with his cousin George. Though all their flirtations had been carried on on both sides palpably by way of fun, though Frank had told himself ten times a day that his heart was true to Mary Thorne, yet he had an undefined feeling that it behoved Miss Dunstable to be a little in love with him. He was not quite at ease in that she was not a little melancholy now that his departure was so nigh; and, above all, he was anxious to know what were the real facts about that letter. He had in his own breast threatened Miss Dunstable with a heartache; and now, when the time for their separation came, he found that his own heart was the more likely to ache of the two. "I suppose I must say something to her, or my aunt will never be satisfied," said he to himself as he sauntered into the little drawing-room on that last evening. But at the very time he was ashamed of himself, for he knew he was going to ask badly. His sister and one of his cousins were in the room, but his aunt, who was quite on the alert, soon got them out of it, and Frank and Miss Dunstable were alone. "So all our fun and all our laughter is come to an end," said she, beginning the conversation. "I don't know how you feel, but for myself I really am a little melancholy at the idea of parting;" and she looked up at him with her laughing black eyes, as though she never had, and never could have a care in the world. "Melancholy! oh, yes; you look so," said Frank, who really did feel somewhat lackadaisically sentimental. "But how thoroughly glad the countess must be that we are both going," continued she. "I declare we have treated her most infamously. Ever since we've been here we've had all the amusement to ourselves. I've sometimes thought she would turn me out of the house." "I wish with all my heart she had." "Oh, you cruel barbarian! why on earth should you wish that?" "That I might have joined you in your exile. I hate Courcy Castle, and should have rejoiced to leave—and—and—" "And what?" "And I love Miss Dunstable, and should have doubly, trebly rejoiced to leave it with her." Frank's voice quivered a little as he made this gallant profession; but still Miss Dunstable only laughed the louder. "Upon my word, of all my knights you are by far the best behaved," said she, "and say much the prettiest things." Frank became rather red in the face, and felt that he did so. Miss Dunstable was treating him like a boy. While she pretended to be so fond of him she was only laughing at him, and corresponding the while with his cousin George. Now Frank Gresham already entertained a sort of contempt for his cousin, which increased the bitterness of his feelings. Could it really be possible that George had succeeded while he had utterly failed; that his stupid cousin had touched the heart of the heiress while she was playing with him as with a boy? "Of all your knights! Is that the way you talk to me when we are going to part? When was it, Miss Dunstable, that George de Courcy became one of them?" Miss Dunstable for a while looked serious enough. "What makes you ask that?" said she. "What makes you inquire about Mr de Courcy?" "Oh, I have eyes, you know, and can't help seeing. Not that I see, or have seen anything that I could possibly help." "And what have you seen, Mr Gresham?" "Why, I know you have been writing to him." "Did he tell you so?" "No; he did not tell me; but I know it." For a moment she sat silent, and then her face again resumed its usual happy smile. "Come, Mr Gresham, you are not going to quarrel with me, I hope, even if I did write a letter to your cousin. Why should I not write to him? I correspond with all manner of people. I'll write to you some of these days if you'll let me, and will promise to answer my letters." Frank threw himself back on the sofa on which he was sitting, and, in doing so, brought himself somewhat nearer to his companion than he had been; he then drew his hand slowly across his forehead, pushing back his thick hair, and as he did so he sighed somewhat plaintively. "I do not care," said he, "for the privilege of correspondence on such terms. If my cousin George is to be a correspondent of yours also, I will give up my claim." And then he sighed again, so that it was piteous to hear him. He was certainly an arrant puppy, and an egregious ass into the bargain; but then, it must be remembered in his favour that he was only twenty-one, and that much had been done to spoil him. Miss Dunstable did remember this, and therefore abstained from laughing at him. "Why, Mr Gresham, what on earth do you mean? In all human probability I shall never write another line to Mr de Courcy; but, if I did, what possible harm could it do you?" "Oh, Miss Dunstable! you do not in the least understand what my feelings are." "Don't I? Then I hope I never shall. I thought I did. I thought they were the feelings of a good, true-hearted friend; feelings that I could sometimes look back upon with pleasure as being honest when so much that one meets is false. I have become very fond of you, Mr Gresham, and I should be sorry to think that I did not understand your feelings." This was almost worse and worse. Young ladies like Miss Dunstable—for she was still to be numbered in the category of young ladies—do not usually tell young gentlemen that they are very fond of them. To boys and girls they may make such a declaration. Now Frank Gresham regarded himself as one who had already fought his battles, and fought them not without glory; he could not therefore endure to be thus openly told by Miss Dunstable that she was very fond of him. "Fond of me, Miss Dunstable! I wish you were." "So I am—very." "You little know how fond I am of you, Miss Dunstable," and he put out his hand to take hold of hers. She then lifted up her own, and slapped him lightly on the knuckles. "And what can you have to say to Miss Dunstable that can make it necessary that you should pinch her hand? I tell you fairly, Mr Gresham, if you make a fool of yourself, I shall come to a conclusion that you are all fools, and that it is hopeless to look out for any one worth caring for." Such advice as this, so kindly given, so wisely meant, so clearly intelligible, he should have taken and understood, young as he was. But even yet he did not do so. "A fool of myself! Yes; I suppose I must be a fool if I have so much regard for Miss Dunstable as to make it painful for me to know that I am to see her no more: a fool: yes, of course I am a fool—a man is always a fool when he loves." Miss Dunstable could not pretend to doubt his meaning any longer; and was determined to stop him, let it cost what it would. She now put out her hand, not over white, and, as Frank soon perceived, gifted with a very fair allowance of strength. "Now, Mr Gresham," said she, "before you go any further you shall listen to me. Will you listen to me for a moment without interrupting me?" Frank was of course obliged to promise that he would do so. "You are going—or rather you were going, for I shall stop you—to make a profession of love." "A profession!" said Frank making a slight unsuccessful effort to get his hand free. "Yes; a profession—a false profession, Mr Gresham,—a false profession—a false profession. Look into your heart—into your heart of hearts. I know you at any rate have a heart; look into it closely. Mr Gresham, you know you do not love me; not as a man should love the woman whom he swears to love." Frank was taken aback. So appealed to he found that he could not any longer say that he did love her. He could only look into her face with all his eyes, and sit there listening to her. "How is it possible that you should love me? I am Heaven knows how many years your senior. I am neither young nor beautiful, nor have I been brought up as she should be whom you in time will really love and make your wife. I have nothing that should make you love me; but—but I am rich." "It is not that," said Frank, stoutly, feeling himself imperatively called upon to utter something in his own defence. "Ah, Mr Gresham, I fear it is that. For what other reason can you have laid your plans to talk in this way to such a woman as I am?" "I have laid no plans," said Frank, now getting his hand to himself. "At any rate, you wrong me there, Miss Dunstable." "I like you so well—nay, love you, if a woman may talk of love in the way of friendship—that if money, money alone would make you happy, you should have it heaped on you. If you want it, Mr Gresham, you shall have it." "I have never thought of your money," said Frank, surlily. "But it grieves me," continued she, "it does grieve me, to think that you, you, you—so young, so gay, so bright—that you should have looked for it in this way. From others I have taken it just as the wind that whistles;" and now two big slow tears escaped from her eyes, and would have rolled down her rosy cheeks were it not that she brushed them off with the back of her hand. "You have utterly mistaken me, Miss Dunstable," said Frank. "If I have, I will humbly beg your pardon," said she. "But—but—but—" "You have; indeed you have." "How can I have mistaken you? Were you not about to say that you loved me; to talk absolute nonsense; to make me an offer? If you were not, if I have mistaken you indeed, I will beg your pardon." Frank had nothing further to say in his own defence. He had not wanted Miss Dunstable's money—that was true; but he could not deny that he had been about to talk that absolute nonsense of which she spoke with so much scorn. "You would almost make me think that there are none honest in this fashionable world of yours. I well know why Lady de Courcy has had me here: how could I help knowing it? She has been so foolish in her plans that ten times a day she has told her own secret. But I have said to myself twenty times, that if she were crafty, you were honest." "And am I dishonest?" "I have laughed in my sleeve to see how she played her game, and to hear others around playing theirs; all of them thinking that they could get the money of the poor fool who had come at their beck and call; but I was able to laugh at them as long as I thought that I had one true friend to laugh with me. But one cannot laugh with all the world against one." "I am not against you, Miss Dunstable." "Sell yourself for money! why, if I were a man I would not sell one jot of liberty for mountains of gold. What! tie myself in the heyday of my youth to a person I could never love, for a price! perjure myself, destroy myself—and not only myself, but her also, in order that I might live idly! Oh, heavens! Mr Gresham! can it be that the words of such a woman as your aunt have sunk so deeply in your heart; have blackened you so foully as to make you think of such vile folly as this? Have you forgotten your soul, your spirit, your man's energy, the treasure of your heart? And you, so young! For shame, Mr Gresham! for shame—for shame." Frank found the task before him by no means an easy one. He had to make Miss Dunstable understand that he had never had the slightest idea of marrying her, and that he had made love to her merely with the object of keeping his hand in for the work as it were; with that object, and the other equally laudable one of interfering with his cousin George. And yet there was nothing for him but to get through this task as best he might. He was goaded to it by the accusations which Miss Dunstable brought against him; and he began to feel, that though her invective against him might be bitter when he had told the truth, they could not be so bitter as those she now kept hinting at under her mistaken impression as to his views. He had never had any strong propensity for money-hunting; but now that offence appeared in his eyes abominable, unmanly, and disgusting. Any imputation would be better than that. "Miss Dunstable, I never for a moment thought of doing what you accuse me of; on my honour, I never did. I have been very foolish—very wrong—idiotic, I believe; but I have never intended that." "Then, Mr Gresham, what did you intend?" This was rather a difficult question to answer; and Frank was not very quick in attempting it. "I know you will not forgive me," he said at last; "and, indeed, I do not see how you can. I don't know how it came about; but this is certain, Miss Dunstable; I have never for a moment thought about your fortune; that is, thought about it in the way of coveting it." "You never thought of making me your wife, then?" "Never," said Frank, looking boldly into her face. "You never intended really to propose to go with me to the altar, and then make yourself rich by one great perjury?" "Never for a moment," said he. "You have never gloated over me as the bird of prey gloats over the poor beast that is soon to become carrion beneath its claws? You have not counted me out as equal to so much land, and calculated on me as a balance at your banker's? Ah, Mr Gresham," she continued, seeing that he stared as though struck almost with awe by her strong language; "you little guess what a woman situated as I am has to suffer." "I have behaved badly to you, Miss Dunstable, and I beg your pardon; but I have never thought of your money." "Then we will be friends again, Mr Gresham, won't we? It is so nice to have a friend like you. There, I think I understand it now; you need not tell me." "It was half by way of making a fool of my aunt," said Frank, in an apologetic tone. "There is merit in that, at any rate," said Miss Dunstable. "I understand it all now; you thought to make a fool of me in real earnest. Well, I can forgive that; at any rate it is not mean." It may be, that Miss Dunstable did not feel much acute anger at finding that this young man had addressed her with words of love in the course of an ordinary flirtation, although that flirtation had been unmeaning and silly. This was not the offence against which her heart and breast had found peculiar cause to arm itself; this was not the injury from which she had hitherto experienced suffering. At any rate, she and Frank again became friends, and, before the evening was over, they perfectly understood each other. Twice during this long Lady de Courcy came into the room to see how things were going on, and twice she went out almost unnoticed. It was quite clear to her that something uncommon had taken place, was taking place, or would take place; and that should this be for weal or for woe, no good could now come from her interference. On each occasion, therefore, she smiled sweetly on the pair of turtle-doves, and glided out of the room as quietly as she had glided into it. tête-à-tête But at last it became necessary to remove them; for the world had gone to bed. Frank, in the meantime, had told to Miss Dunstable all his love for Mary Thorne, and Miss Dunstable had enjoined him to be true to his vows. To her eyes there was something of heavenly beauty in young, true love—of beauty that was heavenly because it had been unknown to her. "Mind you let me hear, Mr Gresham," said she. "Mind you do; and, Mr Gresham, never, never forget her for one moment; not for one moment, Mr Gresham." Frank was about to swear that he never would—again, when the countess, for the third time, sailed into the room. "Young people," said she, "do you know what o'clock it is?" "Dear me, Lady de Courcy, I declare it is past twelve; I really am ashamed of myself. How glad you will be to get rid of me to-morrow!" "No, no, indeed we shan't; shall we, Frank?" and so Miss Dunstable passed out. Then once again the aunt tapped her nephew with her fan. It was the last time in her life that she did so. He looked up in her face, and his look was enough to tell her that the acres of Greshamsbury were not to be reclaimed by the ointment of Lebanon. Nothing further on the subject was said. On the following morning Miss Dunstable took her departure, not much heeding the rather cold words of farewell which her hostess gave her; and on the following day Frank started for Greshamsbury. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Anthony Trollope (2002). Doctor Thorne. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/3166/pg3166-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at www.gutenberg.org https://www.gutenberg.org/policy/license.html.

The Proposal

Twenty Thousand Leagues under the Sea by Jules Verne, is part of the HackerNoon Books Series. You can jump to any chapter in this book . A NOVEL PROPOSAL OF CAPTAIN NEMO’S here CHAPTER II: A NOVEL PROPOSAL OF CAPTAIN NEMO’S On the 28th of February, when at noon the came to the surface of the sea, in 9° 4′ N. lat., there was land in sight about eight miles to westward. The first thing I noticed was a range of mountains about two thousand feet high, the shapes of which were most capricious. On taking the bearings, I knew that we were nearing the island of Ceylon, the pearl which hangs from the lobe of the Indian Peninsula. Nautilus Captain Nemo and his second appeared at this moment. The Captain glanced at the map. Then turning to me, said: “The Island of Ceylon, noted for its pearl-fisheries. Would you like to visit one of them, M. Aronnax?” “Certainly, Captain.” “Well, the thing is easy. Though, if we see the fisheries, we shall not see the fishermen. The annual exportation has not yet begun. Never mind, I will give orders to make for the Gulf of Manaar, where we shall arrive in the night.” The Captain said something to his second, who immediately went out. Soon the returned to her native element, and the manometer showed that she was about thirty feet deep. Nautilus “Well, sir,” said Captain Nemo, “you and your companions shall visit the Bank of Manaar, and if by chance some fisherman should be there, we shall see him at work.” “Agreed, Captain!” “By the bye, M. Aronnax you are not afraid of sharks?” “Sharks!” exclaimed I. This question seemed a very hard one. “Well?” continued Captain Nemo. “I admit, Captain, that I am not yet very familiar with that kind of fish.” “We are accustomed to them,” replied Captain Nemo, “and in time you will be too. However, we shall be armed, and on the road we may be able to hunt some of the tribe. It is interesting. So, till to-morrow, sir, and early.” This said in a careless tone, Captain Nemo left the saloon. Now, if you were invited to hunt the bear in the mountains of Switzerland, what would you say? “Very well! to-morrow we will go and hunt the bear.” If you were asked to hunt the lion in the plains of Atlas, or the tiger in the Indian jungles, what would you say? “Ha! ha! it seems we are going to hunt the tiger or the lion!” But when you are invited to hunt the shark in its natural element, you would perhaps reflect before accepting the invitation. As for myself, I passed my hand over my forehead, on which stood large drops of cold perspiration. “Let us reflect,” said I, “and take our time. Hunting otters in submarine forests, as we did in the Island of Crespo, will pass; but going up and down at the bottom of the sea, where one is almost certain to meet sharks, is quite another thing! I know well that in certain countries, particularly in the Andaman Islands, the negroes never hesitate to attack them with a dagger in one hand and a running noose in the other; but I also know that few who affront those creatures ever return alive. However, I am not a negro, and if I were I think a little hesitation in this case would not be ill-timed.” At this moment Conseil and the Canadian entered, quite composed, and even joyous. They knew not what awaited them. “Faith, sir,” said Ned Land, “your Captain Nemo—the devil take him!—has just made us a very pleasant offer.” “Ah!” said I, “you know?” “If agreeable to you, sir,” interrupted Conseil, “the commander of the has invited us to visit the magnificent Ceylon fisheries to-morrow, in your company; he did it kindly, and behaved like a real gentleman.” Nautilus “He said nothing more?” “Nothing more, sir, except that he had already spoken to you of this little walk.” “Sir,” said Conseil, “would you give us some details of the pearl fishery?” “As to the fishing itself,” I asked, “or the incidents, which?” “On the fishing,” replied the Canadian; “before entering upon the ground, it is as well to know something about it.” “Very well; sit down, my friends, and I will teach you.” Ned and Conseil seated themselves on an ottoman, and the first thing the Canadian asked was: “Sir, what is a pearl?” “My worthy Ned,” I answered, “to the poet, a pearl is a tear of the sea; to the Orientals, it is a drop of dew solidified; to the ladies, it is a jewel of an oblong shape, of a brilliancy of mother-of-pearl substance, which they wear on their fingers, their necks, or their ears; for the chemist it is a mixture of phosphate and carbonate of lime, with a little gelatine; and lastly, for naturalists, it is simply a morbid secretion of the organ that produces the mother-of-pearl amongst certain bivalves.” “Branch of molluscs,” said Conseil. “Precisely so, my learned Conseil; and, amongst these testacea the earshell, the tridacnae, the turbots, in a word, all those which secrete mother-of-pearl, that is, the blue, bluish, violet, or white substance which lines the interior of their shells, are capable of producing pearls.” “Mussels too?” asked the Canadian. “Yes, mussels of certain waters in Scotland, Wales, Ireland, Saxony, Bohemia, and France.” “Good! For the future I shall pay attention,” replied the Canadian. “But,” I continued, “the particular mollusc which secretes the pearl is the pearl-oyster, the meleagrina margaritiferct, that precious pintadine. The pearl is nothing but a nacreous formation, deposited in a globular form, either adhering to the oyster shell, or buried in the folds of the creature. On the shell it is fast; in the flesh it is loose; but always has for a kernel a small hard substance, may be a barren egg, may be a grain of sand, around which the pearly matter deposits itself year after year successively, and by thin concentric layers.” “Are many pearls found in the same oyster?” asked Conseil. “Yes, my boy. Some are a perfect casket. One oyster has been mentioned, though I allow myself to doubt it, as having contained no less than a hundred and fifty sharks.” “A hundred and fifty sharks!” exclaimed Ned Land. “Did I say sharks?” said I hurriedly. “I meant to say a hundred and fifty pearls. Sharks would not be sense.” “Certainly not,” said Conseil; “but will you tell us now by what means they extract these pearls?” “They proceed in various ways. When they adhere to the shell, the fishermen often pull them off with pincers; but the most common way is to lay the oysters on mats of the seaweed which covers the banks. Thus they die in the open air; and at the end of ten days they are in a forward state of decomposition. They are then plunged into large reservoirs of sea-water; then they are opened and washed.” “The price of these pearls varies according to their size?” asked Conseil. “Not only according to their size,” I answered, “but also according to their shape, their water (that is, their colour), and their lustre: that is, that bright and diapered sparkle which makes them so charming to the eye. The most beautiful are called virgin pearls, or paragons. They are formed alone in the tissue of the mollusc, are white, often opaque, and sometimes have the transparency of an opal; they are generally round or oval. The round are made into bracelets, the oval into pendants, and, being more precious, are sold singly. Those adhering to the shell of the oyster are more irregular in shape, and are sold by weight. Lastly, in a lower order are classed those small pearls known under the name of seed-pearls; they are sold by measure, and are especially used in embroidery for church ornaments.” “But,” said Conseil, “is this pearl-fishery dangerous?” “No,” I answered, quickly; “particularly if certain precautions are taken.” “What does one risk in such a calling?” said Ned Land, “the swallowing of some mouthfuls of sea-water?” “As you say, Ned. By the bye,” said I, trying to take Captain Nemo’s careless tone, “are you afraid of sharks, brave Ned?” “I!” replied the Canadian; “a harpooner by profession? It is my trade to make light of them.” “But,” said I, “it is not a question of fishing for them with an iron-swivel, hoisting them into the vessel, cutting off their tails with a blow of a chopper, ripping them up, and throwing their heart into the sea!” “Then, it is a question of——” “Precisely.” “In the water?” “In the water.” “Faith, with a good harpoon! You know, sir, these sharks are ill-fashioned beasts. They turn on their bellies to seize you, and in that time——” Ned Land had a way of saying “seize” which made my blood run cold. “Well, and you, Conseil, what do you think of sharks?” “Me!” said Conseil. “I will be frank, sir.” “So much the better,” thought I. “If you, sir, mean to face the sharks, I do not see why your faithful servant should not face them with you.” About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jules Verne (1994). Twenty Thousand Leagues under the Sea. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/files/164/164-h/164-h.htm This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

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